Les défis de l’intervention interculturelle en milieu minoritaire de langue française en Ontario
Bibliographic record
Abstract
Cet article explore les tensions qui président à l’insertion des nouveaux arrivants de languefrançaise dans la communauté franco-ontarienne et leur impact sur la façon dont on peutaborder l’intervention interculturelle en milieu minoritaire francophone en Ontario. Les défisde l’intervention naissent d’une part d’une logique politique forgée dans l’histoire des relationsentre anglophones et francophones nés au Canada, logique sur laquelle les nouveaux arrivantsont peu de prise; d’autre part, une logique proprement identitaire qui tend à créer des «forteresses»difficilement accessibles aux nouveaux venus. Pourtant, selon l’auteure, nous sommes tousmultiples et devrions utiliser la multiplicité de nos identités — en particulier notre expériencede minoritaires - afin de créer des ponts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".